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Rate-distortion-complexity optimization for x265

机译:X265的速率失真 - 复杂性优化

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摘要

Rate-distortion optimization (RDO) is conventionally based on the analysis of rate-distortion (R-D) curve to minimize the coding distortion under the coding bits constraint. However, it is necessary to consider the computational complexity in the RDO process. In this paper, we obtain the Confidence LEvel - Computational complexity (CLEC) curves which indicate the characteristics of coding tree units (CTUs). Based on the CLEC curves, a rate-distortion-complexity optimization (RDCO) algorithm is proposed to optimize R-D under given computational complexity and achieve the optimal coding performance for x265. Experimental results demonstrate that the proposed algorithm can achieve a wide range of encoding speed under a given quantization parameter (QP) whereas the original x265 can only achieve a few fixed encoding speeds, and the proposed algorithm can reduce the BD-rate and increase the BD-PSNR by 6.59% and 0.13 dB on average under the same requirements of encoding speeds as the original x265.
机译:速率 - 失真优化(RDO)通常基于速率 - 失真(R-D)曲线的分析,以最小化编码位约束下的编码失真。但是,有必要考虑RDO过程中的计算复杂性。在本文中,我们获得了置信水平 - 计算复杂性(CLEC)曲线,其表示编码树单元(CTU)的特征。基于CLEC曲线,提出了一种速率 - 失真 - 复杂度优化(RDCO)算法以优化在给定的计算复杂度下的R-D,并实现X265的最佳编码性能。实验结果表明,所提出的算法可以在给定量化参数(QP)下实现广泛的编码速度,而原始X265只能达到少量固定的编码速度,并且该算法可以降低BD速率并增加BD增加与原始X265的编码速度相同的要求,平均值为6.59%和0.13 dB。

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